Data Analysis and Data Mining for Knowledge Discovery
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 121
Special Issue Editors
Interests: intelligent systems; machine learning; embedded systems; swarm robotics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As data continue to be a vital asset across industries, the ability to analyze and derive actionable insights from vast amounts of data is paramount. This Special Issue will cover a broad range of topics, including advanced data mining algorithms, big data analytics, machine learning, data visualization, text and web mining, real-world applications, and data privacy and security. This Special Issue seeks to gather high-quality, original research articles and reviews that contribute to the development of novel data analysis and data mining approaches, addressing current challenges and highlighting future directions.
The scope of the Special Issue includes, but is not limited to, the following:
- Advanced data mining algorithms: exploration of new algorithms and enhancements to existing methods for effective data mining.
- Big data analytics: techniques and tools for handling and analyzing large-scale data sets, including distributed computing and cloud-based solutions.
- Machine learning and artificial intelligence: integration of machine learning and AI in data analysis to improve predictive accuracy and decision making.
- Data visualization: innovative methods for visualizing complex data to enhance interpretability and insights.
- Text and web mining: approaches for extracting valuable information from unstructured text and web data.
- Applications of data mining: case studies and practical applications of data mining in various fields such as healthcare, finance, marketing, cybersecurity, and social sciences.
- Data privacy and security: strategies for ensuring data privacy and security in data mining processes.
- Emerging technologies: impact of emerging technologies such as blockchain, IoT, and edge computing on data analysis and mining.
Prof. Dr. Nadia Nedjah
Prof. Dr. Luiza de Macedo Mourelle
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- data mining
- big data analytics
- machine learning
- artificial intelligence
- data visualization
- text mining
- data privacy
- data security
- emerging technologies
- predictive analytics
- cloud computing
- internet of things
- edge computing
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